Search agents make many small calls to big models — slow, costly, and low on confidence
antoine_chaffin · x · 2026-10-07
- Search agents face a cascade of small decisions: is this page relevant? Do I have enough info to answer? Which link to open next?
- din0s argues that calling a large model for each decision is slow, expensive, and lacks reliable confidence estimates — making it hard to know which steps to trust.
- A thread opener; the follow-up (not in this post) presumably proposes lighter-weight decision mechanisms.
More from coding & agent
- Jev-as-a-Judge: New Model Boosts LLM Judge Reliability for Agent Evals — omarsar0 · 2026-10-07
- NVIDIA open-sources OpenShell 0.1.0 to sandbox AI agents without rewriting them — dl_weekly · 2026-10-07
- DeepLearning.AI launches free course on building AI assistants with on-device memory — DeepLearningAI · 2026-10-07
- Cursor opens Origin App Marketplace: partner apps go live after review — tetsuoai · 2026-10-07
- Agently demo shows Mac-controlling agent hooked to company tools: 'the agent Apple couldn't build' — Scobleizer · 2026-10-07
- Prompt2ELF: an AI model as the front end of a zero-toolchain software pipeline — UncommonSort · 2026-10-07